Alcor Micro (Taiwan) Market Value
| 8054 Stock | TWD 156.50 2.00 1.26% |
| Symbol | Alcor |
Alcor Micro 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Alcor Micro's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Alcor Micro.
| 03/03/2024 |
| 05/02/2024 |
If you would invest 0.00 in Alcor Micro on March 3, 2024 and sell it all today you would earn a total of 0.00 from holding Alcor Micro or generate 0.0% return on investment in Alcor Micro over 60 days. Alcor Micro is related to or competes with Qisda Corp, Quanta Computer, Coretronic, Wistron Corp, and Delta Electronics. More
Alcor Micro Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Alcor Micro's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Alcor Micro upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 5.6 | |||
| Information Ratio | 0.053 | |||
| Maximum Drawdown | 19.97 | |||
| Value At Risk | (9.80) | |||
| Potential Upside | 9.9 |
Alcor Micro Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Alcor Micro's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Alcor Micro's standard deviation. In reality, there are many statistical measures that can use Alcor Micro historical prices to predict the future Alcor Micro's volatility.| Risk Adjusted Performance | 0.0496 | |||
| Jensen Alpha | 0.414 | |||
| Total Risk Alpha | (0.09) | |||
| Sortino Ratio | 0.0535 | |||
| Treynor Ratio | (0.26) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Alcor Micro's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Alcor Micro Backtested Returns
Alcor Micro secures Sharpe Ratio (or Efficiency) of -0.0601, which signifies that the company had a -0.0601% return per unit of standard deviation over the last 3 months. Alcor Micro exposes twenty-nine different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Alcor Micro's mean deviation of 4.46, and Risk Adjusted Performance of 0.0496 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of -1.32, which signifies a somewhat significant risk relative to the market. As returns on the market increase, returns on owning Alcor Micro are expected to decrease by larger amounts. On the other hand, during market turmoil, Alcor Micro is expected to outperform it. Alcor Micro has an expected return of -0.34%. Please make sure to confirm Alcor Micro semi deviation, coefficient of variation, and the relationship between the mean deviation and downside deviation , to decide if Alcor Micro performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.30 |
Below average predictability
Alcor Micro has below average predictability. Overlapping area represents the amount of predictability between Alcor Micro time series from 3rd of March 2024 to 2nd of April 2024 and 2nd of April 2024 to 2nd of May 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Alcor Micro price movement. The serial correlation of 0.3 indicates that nearly 30.0% of current Alcor Micro price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.3 | |
| Spearman Rank Test | 0.06 | |
| Residual Average | 0.0 | |
| Price Variance | 45.56 |
Alcor Micro lagged returns against current returns
Autocorrelation, which is Alcor Micro stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Alcor Micro's stock expected returns. We can calculate the autocorrelation of Alcor Micro returns to help us make a trade decision. For example, suppose you find that Alcor Micro has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Alcor Micro regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Alcor Micro stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Alcor Micro stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Alcor Micro stock over time.
Current vs Lagged Prices |
| Timeline |
Alcor Micro Lagged Returns
When evaluating Alcor Micro's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Alcor Micro stock have on its future price. Alcor Micro autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Alcor Micro autocorrelation shows the relationship between Alcor Micro stock current value and its past values and can show if there is a momentum factor associated with investing in Alcor Micro.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Alcor Micro in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Alcor Micro's short interest history, or implied volatility extrapolated from Alcor Micro options trading.
Thematic Opportunities
Explore Investment Opportunities
Check out Alcor Micro Correlation, Alcor Micro Volatility and Alcor Micro Alpha and Beta module to complement your research on Alcor Micro. You can also try the Money Managers module to screen money managers from public funds and ETFs managed around the world.
Complementary Tools for Alcor Stock analysis
When running Alcor Micro's price analysis, check to measure Alcor Micro's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Alcor Micro is operating at the current time. Most of Alcor Micro's value examination focuses on studying past and present price action to predict the probability of Alcor Micro's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Alcor Micro's price. Additionally, you may evaluate how the addition of Alcor Micro to your portfolios can decrease your overall portfolio volatility.
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Alcor Micro technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.